TensorFlow Model Deployment
Pre-requisites: TenssorFlow Serving Docker Save TF Model tf_model.save('saved_model/my-model') Create Dockerfile By default TensorFlow serving looks at /models/model/<integer> directory for saved models. Lets copy our saved model: FROM tensorflow/serving RUN mkdir -p /models/model/1 COPY ./saved_model/my-model/ /models/model/1/ EXPOSE 8501 Build & Run Docker Container docker build -t my-model . docker container run --name my-model -p 8080:8501 -it my-model